Construction of a pathomics model for predicting mRNAsi in lung adenocarcinoma and exploration of biological mechanism
The predictive model constructed based on pathomics features can forecast the mRNAsi and survival risk of LUAD. This model holds promise to aid clinical practitioners in identifying high-risk patients and devising more optimized treatment plans for patients by jointly employing therapeutic strategies targeting cancer stem cells (CSCs).
Authors
- Rui Chen (ORCID: https://orcid.org/0000-0003-3728-2577)
- Junping Xie
- Yuzhen Liu (ORCID: https://orcid.org/0000-0002-2163-4868)
Institutions
- Nanchang University (CN)
- First Affiliated Hospital of Jiangxi Medical College (CN)
- Jiangxi Provincial People's Hospital (CN)
- Second Affiliated Hospital of Nanchang University (CN)
Publication Details
- Journal
- Heliyon
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1016/j.heliyon.2024.e37100
- Citations
- 6
- Primary Topic
- Cancer-related molecular mechanisms research
- Type
- article
- Field-Weighted Citation Impact
- 1.71
Funders
- National Natural Science Foundation of China